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AI/ML Engineer

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Robert Half

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Location:
United States , Riviera Beach

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The AI/ML Engineer will design, build, and deploy production-grade machine learning and AI systems that power core products and features. This role bridges cutting-edge research with reliable, scalable engineering, turning prototypes into high-performance services that run 24/7 in production.

Job Responsibility:

  • Design and implement end-to-end ML pipelines: data ingestion, feature engineering, training, evaluation, deployment, and monitoring
  • Develop, optimize, and productionize models using PyTorch/TensorFlow/JAX (including LLMs, vision, multimodal, and custom architectures)
  • Optimize inference for latency, memory, and cost (quantization, pruning, distillation, TensorRT, ONNX, vLLM)
  • Integrate models into backend systems via REST/gRPC APIs, event-driven architectures, or real-time serving
  • Own MLOps practices: experiment tracking (MLflow, W&B), model registry, CI/CD for ML, canary deployments, drift detection, and observability
  • Collaborate with data scientists to harden research prototypes into clean, tested, production-ready code
  • Build and maintain retrieval-augmented generation (RAG), agentic workflows, and prompt-engineered systems when appropriate (LangChain, LlamaIndex)
  • Continuously monitor, retrain, and improve live models to maintain performance and reliability

Requirements:

  • Bachelor's or Master's in Computer Science, Engineering, Mathematics, or equivalent experience
  • 3–8+ years of hands-on experience shipping ML/AI systems to production
  • Expert-level Python and deep proficiency in PyTorch (preferred) or TensorFlow/JAX
  • Proven track record with modern ML infrastructure: Docker, Kubernetes, Ray, Triton Inference Server, cloud ML platforms (SageMaker, Vertex AI, Bedrock)
  • Strong MLOps experience (MLflow, Airflow, feature stores, model registries, monitoring tools)
  • Solid software engineering fundamentals: testing, code reviews, system design, versioning
  • Experience integrating models into larger systems (FastAPI, microservices, streaming pipelines)

Nice to have:

  • Hands-on experience fine-tuning and deploying open-source LLMs (Llama 3, Mistral, Gemma, etc.)
  • Built RAG systems, AI agents, or copilot-style applications using LangChain, LlamaIndex, or DSPy
  • Familiarity with prompt engineering, chain-of-thought, ReAct, and tool-use patterns
  • Contributions to open-source ML projects or published research
  • Experience with GitHub Copilot / Cursor for accelerated development
  • Knowledge of distributed training (DeepSpeed, FSDP, Megatron) and large-scale data processing (Spark, DuckDB, Polars)
What we offer:
  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan

Additional Information:

Job Posted:
May 05, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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